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Separation of scales and a thermodynamic description of feature learning in some CNNs
Deep neural networks (DNNs) are powerful tools for compressing and distilling information. Their scale and complexity, often involving billions of inter-dependent parameters, render direct microscopic analysis difficult. Under such circumstances, a common strategy is to identify slow variables that...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938275/ https://www.ncbi.nlm.nih.gov/pubmed/36804926 http://dx.doi.org/10.1038/s41467-023-36361-y |